Engineering Manager

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Role Overview The Engineering Manager (EM) will be responsible for driving end-to-end delivery across multiple environments, ensuring timelines, quality, stakeholder communication, and execution discipline are maintained. This role will coordinate across PMs, QA, frontend, backend, data, and client-facing teams to ensure projects are delivered on time and with the expected quality. The Engineering Manager will act as the central owner for delivery planning, risk management, issue escalation, resource coordination, and release readiness. Key Responsibilities 1. Delivery Ownership Own end-to-end delivery for assigned environments and projects Create and maintain delivery plans, timelines, trackers, and milestones Ensure all teams are aligned on priorities, dependencies, and deadlines Track progress daily and identify delays proactively Ensure commitments made to clients are met 2. Project Planning & Coordination Break down delivery into phases with clear owners and timelines Coordinate work across: Frontend Backend QA Data Automation PM teams Ensure dependencies are identified and managed early Allocate resources based on project needs and delivery timelines 3. Risk & Escalation Management Identify delivery risks, blockers, and bottlenecks early Escalate issues proactively when timelines, quality, or resources are at risk Drive resolution of critical issues and P0 blockers Maintain contingency plans for delayed or blocked workstreams 4. Stakeholder Management Act as the primary coordination point between internal teams and leadership Provide regular delivery updates, status reports, and risk summaries Manage expectations with stakeholders on timelines, blockers, and tradeoffs Ensure alignment between leadership, project teams, and client expectations 5. Quality & Release Readiness Ensure QA, automation, harness reports, data quality checks, and documentation are completed before release Conduct go/no-go reviews before delivery Validate that all critical issues are resolved before sign-off Ensure releases meet agreed quality standards 6. Metrics & Reporting Track and report: Delivery timelines Resource utilization QA progress Defect trends Escalations Automation coverage Delivery risk levels Maintain dashboards and reports for leadership visibility Use metrics to identify gaps and improve delivery efficiency 7. Team Management Ensure pod leads and team members are executing effectively Drive accountability across teams Conduct regular follow-ups and review meetings Help teams remove blockers and improve execution quality Support hiring, onboarding, and resource planning where needed Required Skills Strong project and delivery management experience Ability to manage multiple projects and cross-functional teams simultaneously Strong stakeholder management and communication skills Experience with delivery planning, risk management, and escalation handling Strong understanding of QA, engineering, and release processes Ability to drive accountability and execution across teams Strong analytical and problem-solving skills Experience with project tracking tools such as Jira, Asana, or similar Preferred Skills Experience managing